Marjolein Troost | Searcharxiv

arXiv2026

Photoluminescence of resin-based solder flux residue under ultraviolet excitation from 120 nm to 310 nm

Nuisance photoluminescence is a potential source of background in particle detectors that use noble liquids as target material for galactic dark matter particles and neutrinos. Liquid argon and xenon scintillate in the vacuum ultraviolet (VUV) wavelength range in response to particle interactions. Photoluminescent materials that absorb these photons can cause unexpected signals that may impede event reconstruction in these detectors. We illuminated residue from different types of commercial solder flux commonly used in liquid xenon detectors with ultraviolet and VUV light and measured their photoluminescence spectra and intensities. We find that all tested flux residues photoluminesce in the visible spectral region when exposed to VUV light.

physics.ins-det↗

arXiv2018

Generalization of an Upper Bound on the Number of Nodes Needed to Achieve Linear Separability

An important issue in neural network research is how to choose the number of nodes and layers such as to solve a classification problem. We provide new intuitions based on earlier results by An et al. (2015) by deriving an upper bound on the number of nodes in networks with two hidden layers such that linear separability can be achieved. Concretely, we show that if the data can be described in terms of N finite sets and the used activation function f is non-constant, increasing and has a left asymptote, we can derive how many nodes are needed to linearly separate these sets. This will be an upper bound that depends on the structure of the data. This structure can be analyzed using an algorithm. For the leaky rectified linear activation function, we prove separately that under some conditions on the slope, the same number of layers and nodes as for the aforementioned activation functions is sufficient. We empirically validate our claims.

stat.ML↗